{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}\\file\UsersW$\wrr15\Home\My Documents\My Files\ANDY KIM\REVISION FOR WORLD DEVELOPMENT\DATA AND CODE\Part2.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}14 Jul 2016, 08:05:10
{txt}
{com}. 
. // RECODING VARIABLES
. // The first thing we do is generate some new variables
. // because some of our old study characteristics had too few
. // observations
. gen endog = (tsls == 1 | gmm == 1)
{txt}
{com}. gen se_notols = (se_het == 1 | se_other == 1)
{txt}
{com}. gen fdigdp = fditype0
{txt}
{com}. 
. // This section transforms the continuous variables so they are 
. // deviations from the mean.  This makes the constant more "interpretable".
. gen pubyear2 = pubyear
{txt}
{com}. egen pubyearm = mean(pubyear2)
{txt}
{com}. replace pubyear = pubyear2 - pubyearm
{txt}variable {bf}pubyear{sf} was {bf}{res}int{sf}{txt} now {bf}{res}float{sf}
{txt}(280 real changes made)

{com}. 
. gen datayear2 = datayear
{txt}
{com}. egen datayearm = mean(datayear2)
{txt}
{com}. replace datayear = datayear2 - datayearm
{txt}(280 real changes made)

{com}. 
. gen span2 = span
{txt}
{com}. egen spanm = mean(span2)
{txt}
{com}. replace span = span2 - spanm
{txt}variable {bf}span{sf} was {bf}{res}byte{sf}{txt} now {bf}{res}float{sf}
{txt}(280 real changes made)

{com}. 
. gen journalrank2 = journalrank
{txt}
{com}. egen jrmean = mean(journalrank2)
{txt}
{com}. replace journalrank = journalrank2 - jrmean
{txt}(280 real changes made)

{com}. 
. 
. //CONVERTING TSTATS TO PARTICAL CORRELATION COEFFICIENTS, r
. gen eff = sqrt(tstat^2/(tstat^2+df))
{txt}
{com}. gen r = eff if positive == 1
{txt}(32 missing values generated)

{com}. replace r = -1*eff if r == .
{txt}(32 real changes made)

{com}. gen varR = (1-r^2)/df
{txt}
{com}. gen seR = sqrt(varR)
{txt}
{com}. gen pcc = r
{txt}
{com}. 
. 
. 
. *--------------------------------------------------------------------------------*
. *   TABLE 5: Fixed Effects Meta-Regression                                       *
. *--------------------------------------------------------------------------------*
. 
. //METAREGRESSION - FIXED EFFECTS
. gen pubyearr = pubyear/seR 
{txt}
{com}. gen datayearr = datayear/seR 
{txt}
{com}. gen spann = span/seR 
{txt}
{com}. gen subsett = subset/seR 
{txt}
{com}. gen fdigdpp = fdigdp/seR
{txt}
{com}. gen initiall = initial/seR
{txt}
{com}. gen endogg = endog/seR
{txt}
{com}. gen se_notolss = se_notols/seR
{txt}
{com}. gen dvtype11 = dvtype1/seR 
{txt}
{com}. gen dvtype22 = dvtype2/seR 
{txt}
{com}. gen dvtype_otherr = dvtype_other/seR 
{txt}
{com}. gen panel_nofee = panel_nofe/seR 
{txt}
{com}. gen panel_fee = panel_fe/ seR 
{txt}
{com}. gen tss = ts/seR   
{txt}
{com}. gen cjournall = cjournal/seR 
{txt}
{com}. gen notjournall = notjournal/seR 
{txt}
{com}. gen conss = 1/seR
{txt}
{com}. gen fetstatR = r/seR 
{txt}
{com}. gen journalrankk = journalrank/seR
{txt}
{com}. 
. 
. // FIXED EFFECTS - Full Specification
. 
. // These specifications include the SeR term
. // NOTE: The constant term is the SER term
. 
. //This first regression gives equal weight to each observation
. // TABLE 5 - Col 1
. reg fetstatR pubyearr datayearr spann subsett fdigdpp initiall endogg ///
> se_notolss dvtype11 dvtype22 dvtype_otherr panel_nofee panel_fee tss ///
> cjournall notjournall journalrankk conss,  vce(cluster id)

{txt}Linear regression                               Number of obs     = {res}       280
                                                {txt}F(18, 36)         =  {res}    42.37
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4755
                                                {txt}Root MSE          =    {res} 2.0504

{txt}{ralign 79:(Std. Err. adjusted for {res:37} clusters in id)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}     fetstatR{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}pubyearr {c |}{col 15}{res}{space 2} -.022161{col 27}{space 2} .0087145{col 38}{space 1}   -2.54{col 47}{space 3}0.015{col 55}{space 4}-.0398348{col 68}{space 3}-.0044873
{txt}{space 4}datayearr {c |}{col 15}{res}{space 2} .0111854{col 27}{space 2} .0092661{col 38}{space 1}    1.21{col 47}{space 3}0.235{col 55}{space 4}-.0076072{col 68}{space 3}  .029978
{txt}{space 8}spann {c |}{col 15}{res}{space 2} -.001447{col 27}{space 2} .0029733{col 38}{space 1}   -0.49{col 47}{space 3}0.629{col 55}{space 4}-.0074771{col 68}{space 3}  .004583
{txt}{space 6}subsett {c |}{col 15}{res}{space 2}-.0040827{col 27}{space 2} .0254099{col 38}{space 1}   -0.16{col 47}{space 3}0.873{col 55}{space 4}-.0556164{col 68}{space 3}  .047451
{txt}{space 6}fdigdpp {c |}{col 15}{res}{space 2}-.0513216{col 27}{space 2} .0448831{col 38}{space 1}   -1.14{col 47}{space 3}0.260{col 55}{space 4}-.1423488{col 68}{space 3} .0397056
{txt}{space 5}initiall {c |}{col 15}{res}{space 2}-.3005483{col 27}{space 2}  .053181{col 38}{space 1}   -5.65{col 47}{space 3}0.000{col 55}{space 4}-.4084043{col 68}{space 3}-.1926923
{txt}{space 7}endogg {c |}{col 15}{res}{space 2}-.0167511{col 27}{space 2} .0471004{col 38}{space 1}   -0.36{col 47}{space 3}0.724{col 55}{space 4}-.1122753{col 68}{space 3}  .078773
{txt}{space 3}se_notolss {c |}{col 15}{res}{space 2} .0444314{col 27}{space 2} .0518454{col 38}{space 1}    0.86{col 47}{space 3}0.397{col 55}{space 4}-.0607159{col 68}{space 3} .1495786
{txt}{space 5}dvtype11 {c |}{col 15}{res}{space 2} -.027528{col 27}{space 2} .0411339{col 38}{space 1}   -0.67{col 47}{space 3}0.508{col 55}{space 4}-.1109514{col 68}{space 3} .0558954
{txt}{space 5}dvtype22 {c |}{col 15}{res}{space 2} .3206426{col 27}{space 2} .0579662{col 38}{space 1}    5.53{col 47}{space 3}0.000{col 55}{space 4} .2030816{col 68}{space 3} .4382035
{txt}dvtype_otherr {c |}{col 15}{res}{space 2}  .048808{col 27}{space 2} .0444756{col 38}{space 1}    1.10{col 47}{space 3}0.280{col 55}{space 4}-.0413928{col 68}{space 3} .1390087
{txt}{space 2}panel_nofee {c |}{col 15}{res}{space 2} .1200175{col 27}{space 2}   .08429{col 38}{space 1}    1.42{col 47}{space 3}0.163{col 55}{space 4}-.0509306{col 68}{space 3} .2909655
{txt}{space 4}panel_fee {c |}{col 15}{res}{space 2} .0674832{col 27}{space 2} .0748105{col 38}{space 1}    0.90{col 47}{space 3}0.373{col 55}{space 4}-.0842396{col 68}{space 3} .2192061
{txt}{space 10}tss {c |}{col 15}{res}{space 2}-.0279544{col 27}{space 2} .0070681{col 38}{space 1}   -3.96{col 47}{space 3}0.000{col 55}{space 4}-.0422891{col 68}{space 3}-.0136197
{txt}{space 4}cjournall {c |}{col 15}{res}{space 2}-.1484803{col 27}{space 2} .0408476{col 38}{space 1}   -3.63{col 47}{space 3}0.001{col 55}{space 4}-.2313231{col 68}{space 3}-.0656375
{txt}{space 2}notjournall {c |}{col 15}{res}{space 2}-.0223079{col 27}{space 2} .0442486{col 38}{space 1}   -0.50{col 47}{space 3}0.617{col 55}{space 4}-.1120483{col 68}{space 3} .0674325
{txt}{space 1}journalrankk {c |}{col 15}{res}{space 2} .0128268{col 27}{space 2} .0453609{col 38}{space 1}    0.28{col 47}{space 3}0.779{col 55}{space 4}-.0791694{col 68}{space 3} .1048231
{txt}{space 8}conss {c |}{col 15}{res}{space 2}-.0173424{col 27}{space 2} .1280279{col 38}{space 1}   -0.14{col 47}{space 3}0.893{col 55}{space 4}-.2769949{col 68}{space 3} .2423101
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}  2.49606{col 27}{space 2} .8037315{col 38}{space 1}    3.11{col 47}{space 3}0.004{col 55}{space 4} .8660173{col 68}{space 3} 4.126103
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. display e(r2_a)
{res}.43927847
{txt}
{com}. 
. //This regression gives equal weight to each study
. // TABLE 5 - Col 3
. reg fetstatR pubyearr datayearr spann subsett fdigdpp initiall endogg ///
> se_notolss dvtype11 dvtype22 dvtype_otherr panel_nofee panel_fee tss ///
> cjournall notjournall journalrankk conss [pweight = weight], vce(cluster id)
{txt}(sum of wgt is   3.7000e+01)

Linear regression                               Number of obs     = {res}       280
                                                {txt}F(18, 36)         =  {res}     5.64
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.5431
                                                {txt}Root MSE          =    {res} 1.9998

{txt}{ralign 79:(Std. Err. adjusted for {res:37} clusters in id)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}     fetstatR{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}pubyearr {c |}{col 15}{res}{space 2}-.0279007{col 27}{space 2} .0120584{col 38}{space 1}   -2.31{col 47}{space 3}0.027{col 55}{space 4}-.0523563{col 68}{space 3} -.003445
{txt}{space 4}datayearr {c |}{col 15}{res}{space 2} .0179571{col 27}{space 2} .0130364{col 38}{space 1}    1.38{col 47}{space 3}0.177{col 55}{space 4}-.0084819{col 68}{space 3} .0443962
{txt}{space 8}spann {c |}{col 15}{res}{space 2} .0034959{col 27}{space 2}  .005773{col 38}{space 1}    0.61{col 47}{space 3}0.549{col 55}{space 4}-.0082123{col 68}{space 3} .0152042
{txt}{space 6}subsett {c |}{col 15}{res}{space 2}-.0046906{col 27}{space 2} .0354956{col 38}{space 1}   -0.13{col 47}{space 3}0.896{col 55}{space 4} -.076679{col 68}{space 3} .0672979
{txt}{space 6}fdigdpp {c |}{col 15}{res}{space 2}-.0182613{col 27}{space 2}  .055377{col 38}{space 1}   -0.33{col 47}{space 3}0.743{col 55}{space 4} -.130571{col 68}{space 3} .0940485
{txt}{space 5}initiall {c |}{col 15}{res}{space 2}-.2990195{col 27}{space 2} .0681125{col 38}{space 1}   -4.39{col 47}{space 3}0.000{col 55}{space 4}-.4371581{col 68}{space 3}-.1608809
{txt}{space 7}endogg {c |}{col 15}{res}{space 2}-.0563983{col 27}{space 2} .0536893{col 38}{space 1}   -1.05{col 47}{space 3}0.301{col 55}{space 4}-.1652852{col 68}{space 3} .0524886
{txt}{space 3}se_notolss {c |}{col 15}{res}{space 2} -.012073{col 27}{space 2} .0666217{col 38}{space 1}   -0.18{col 47}{space 3}0.857{col 55}{space 4}-.1471881{col 68}{space 3} .1230421
{txt}{space 5}dvtype11 {c |}{col 15}{res}{space 2}-.0436805{col 27}{space 2} .0509115{col 38}{space 1}   -0.86{col 47}{space 3}0.397{col 55}{space 4}-.1469337{col 68}{space 3} .0595727
{txt}{space 5}dvtype22 {c |}{col 15}{res}{space 2} .3134328{col 27}{space 2} .0769184{col 38}{space 1}    4.07{col 47}{space 3}0.000{col 55}{space 4}  .157435{col 68}{space 3} .4694306
{txt}dvtype_otherr {c |}{col 15}{res}{space 2} .0723678{col 27}{space 2} .0902608{col 38}{space 1}    0.80{col 47}{space 3}0.428{col 55}{space 4}-.1106896{col 68}{space 3} .2554253
{txt}{space 2}panel_nofee {c |}{col 15}{res}{space 2}-.0435351{col 27}{space 2} .1289891{col 38}{space 1}   -0.34{col 47}{space 3}0.738{col 55}{space 4}-.3051372{col 68}{space 3}  .218067
{txt}{space 4}panel_fee {c |}{col 15}{res}{space 2}-.0652541{col 27}{space 2} .1204636{col 38}{space 1}   -0.54{col 47}{space 3}0.591{col 55}{space 4}-.3095656{col 68}{space 3} .1790575
{txt}{space 10}tss {c |}{col 15}{res}{space 2}-.0119622{col 27}{space 2} .0096566{col 38}{space 1}   -1.24{col 47}{space 3}0.223{col 55}{space 4}-.0315466{col 68}{space 3} .0076222
{txt}{space 4}cjournall {c |}{col 15}{res}{space 2}-.0360139{col 27}{space 2} .0757185{col 38}{space 1}   -0.48{col 47}{space 3}0.637{col 55}{space 4}-.1895781{col 68}{space 3} .1175503
{txt}{space 2}notjournall {c |}{col 15}{res}{space 2}-.0039528{col 27}{space 2} .0595146{col 38}{space 1}   -0.07{col 47}{space 3}0.947{col 55}{space 4}-.1246541{col 68}{space 3} .1167484
{txt}{space 1}journalrankk {c |}{col 15}{res}{space 2}   .05857{col 27}{space 2}  .063514{col 38}{space 1}    0.92{col 47}{space 3}0.363{col 55}{space 4}-.0702424{col 68}{space 3} .1873824
{txt}{space 8}conss {c |}{col 15}{res}{space 2} .1445333{col 27}{space 2} .1820252{col 38}{space 1}    0.79{col 47}{space 3}0.432{col 55}{space 4} -.224631{col 68}{space 3} .5136975
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}  2.00545{col 27}{space 2} .9808438{col 38}{space 1}    2.04{col 47}{space 3}0.048{col 55}{space 4} .0162069{col 68}{space 3} 3.994694
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. display e(r2_a)
{res}.5115692
{txt}
{com}. 
. 
. // NOTE: These specification omit the SeR term
. 
. //This first regression gives equal weight to each observation
. // TABLE 5 - Col 2
. reg fetstatR pubyearr datayearr spann subsett fdigdpp initiall endogg ///
> se_notolss dvtype11 dvtype22 dvtype_otherr panel_nofee panel_fee tss ///
> cjournall notjournall journalrankk conss, noc vce(cluster id)

{txt}Linear regression                               Number of obs     = {res}       280
                                                {txt}F(18, 36)         =  {res}   114.11
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6822
                                                {txt}Root MSE          =    {res}   2.15

{txt}{ralign 79:(Std. Err. adjusted for {res:37} clusters in id)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}     fetstatR{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}pubyearr {c |}{col 15}{res}{space 2}-.0171937{col 27}{space 2} .0077645{col 38}{space 1}   -2.21{col 47}{space 3}0.033{col 55}{space 4}-.0329409{col 68}{space 3}-.0014465
{txt}{space 4}datayearr {c |}{col 15}{res}{space 2} .0068289{col 27}{space 2} .0077083{col 38}{space 1}    0.89{col 47}{space 3}0.382{col 55}{space 4}-.0088043{col 68}{space 3} .0224622
{txt}{space 8}spann {c |}{col 15}{res}{space 2} -.005056{col 27}{space 2} .0027228{col 38}{space 1}   -1.86{col 47}{space 3}0.072{col 55}{space 4}-.0105782{col 68}{space 3} .0004662
{txt}{space 6}subsett {c |}{col 15}{res}{space 2} .0581138{col 27}{space 2} .0184318{col 38}{space 1}    3.15{col 47}{space 3}0.003{col 55}{space 4} .0207324{col 68}{space 3} .0954952
{txt}{space 6}fdigdpp {c |}{col 15}{res}{space 2}-.0441212{col 27}{space 2} .0574809{col 38}{space 1}   -0.77{col 47}{space 3}0.448{col 55}{space 4}-.1606978{col 68}{space 3} .0724553
{txt}{space 5}initiall {c |}{col 15}{res}{space 2}-.2804789{col 27}{space 2} .0544697{col 38}{space 1}   -5.15{col 47}{space 3}0.000{col 55}{space 4}-.3909485{col 68}{space 3}-.1700092
{txt}{space 7}endogg {c |}{col 15}{res}{space 2} .0098952{col 27}{space 2} .0466315{col 38}{space 1}    0.21{col 47}{space 3}0.833{col 55}{space 4}-.0846778{col 68}{space 3} .1044683
{txt}{space 3}se_notolss {c |}{col 15}{res}{space 2} .0134122{col 27}{space 2} .0585493{col 38}{space 1}    0.23{col 47}{space 3}0.820{col 55}{space 4}-.1053313{col 68}{space 3} .1321556
{txt}{space 5}dvtype11 {c |}{col 15}{res}{space 2}-.0483476{col 27}{space 2} .0558165{col 38}{space 1}   -0.87{col 47}{space 3}0.392{col 55}{space 4}-.1615488{col 68}{space 3} .0648536
{txt}{space 5}dvtype22 {c |}{col 15}{res}{space 2} .2718779{col 27}{space 2} .0676431{col 38}{space 1}    4.02{col 47}{space 3}0.000{col 55}{space 4} .1346913{col 68}{space 3} .4090644
{txt}dvtype_otherr {c |}{col 15}{res}{space 2} .0146622{col 27}{space 2} .0499144{col 38}{space 1}    0.29{col 47}{space 3}0.771{col 55}{space 4} -.086569{col 68}{space 3} .1158934
{txt}{space 2}panel_nofee {c |}{col 15}{res}{space 2}-.0611159{col 27}{space 2} .0842799{col 38}{space 1}   -0.73{col 47}{space 3}0.473{col 55}{space 4}-.2320434{col 68}{space 3} .1098116
{txt}{space 4}panel_fee {c |}{col 15}{res}{space 2}-.1127579{col 27}{space 2} .0883129{col 38}{space 1}   -1.28{col 47}{space 3}0.210{col 55}{space 4}-.2918648{col 68}{space 3}  .066349
{txt}{space 10}tss {c |}{col 15}{res}{space 2}-.0207706{col 27}{space 2} .0076185{col 38}{space 1}   -2.73{col 47}{space 3}0.010{col 55}{space 4}-.0362216{col 68}{space 3}-.0053195
{txt}{space 4}cjournall {c |}{col 15}{res}{space 2}-.1444034{col 27}{space 2} .0493841{col 38}{space 1}   -2.92{col 47}{space 3}0.006{col 55}{space 4}-.2445589{col 68}{space 3}-.0442478
{txt}{space 2}notjournall {c |}{col 15}{res}{space 2}-.0175093{col 27}{space 2} .0574146{col 38}{space 1}   -0.30{col 47}{space 3}0.762{col 55}{space 4}-.1339516{col 68}{space 3}  .098933
{txt}{space 1}journalrankk {c |}{col 15}{res}{space 2} -.009928{col 27}{space 2} .0590308{col 38}{space 1}   -0.17{col 47}{space 3}0.867{col 55}{space 4}-.1296481{col 68}{space 3}  .109792
{txt}{space 8}conss {c |}{col 15}{res}{space 2} .3197687{col 27}{space 2} .0840325{col 38}{space 1}    3.81{col 47}{space 3}0.001{col 55}{space 4} .1493428{col 68}{space 3} .4901945
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. display e(r2_a)
{res}.66032812
{txt}
{com}. 
. //This regression gives equal weight to each study
. // TABLE 5 - Col 4
. reg fetstatR pubyearr datayearr spann subsett fdigdpp initiall endogg ///
> se_notolss dvtype11 dvtype22 dvtype_otherr panel_nofee panel_fee tss ///
> cjournall notjournall journalrankk conss [pweight = weight], noc vce(cluster id)
{txt}(sum of wgt is   3.7000e+01)

Linear regression                               Number of obs     = {res}       280
                                                {txt}F(18, 36)         =  {res}    31.98
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.7492
                                                {txt}Root MSE          =    {res} 2.0706

{txt}{ralign 79:(Std. Err. adjusted for {res:37} clusters in id)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}     fetstatR{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}pubyearr {c |}{col 15}{res}{space 2}-.0221311{col 27}{space 2} .0102623{col 38}{space 1}   -2.16{col 47}{space 3}0.038{col 55}{space 4}-.0429439{col 68}{space 3}-.0013183
{txt}{space 4}datayearr {c |}{col 15}{res}{space 2} .0128703{col 27}{space 2} .0110398{col 38}{space 1}    1.17{col 47}{space 3}0.251{col 55}{space 4}-.0095194{col 68}{space 3} .0352601
{txt}{space 8}spann {c |}{col 15}{res}{space 2} .0011654{col 27}{space 2} .0051342{col 38}{space 1}    0.23{col 47}{space 3}0.822{col 55}{space 4}-.0092472{col 68}{space 3}  .011578
{txt}{space 6}subsett {c |}{col 15}{res}{space 2} .0352501{col 27}{space 2} .0301564{col 38}{space 1}    1.17{col 47}{space 3}0.250{col 55}{space 4}  -.02591{col 68}{space 3} .0964102
{txt}{space 6}fdigdpp {c |}{col 15}{res}{space 2}-.0274456{col 27}{space 2} .0616218{col 38}{space 1}   -0.45{col 47}{space 3}0.659{col 55}{space 4}-.1524205{col 68}{space 3} .0975293
{txt}{space 5}initiall {c |}{col 15}{res}{space 2}-.2818832{col 27}{space 2} .0726878{col 38}{space 1}   -3.88{col 47}{space 3}0.000{col 55}{space 4}-.4293008{col 68}{space 3}-.1344655
{txt}{space 7}endogg {c |}{col 15}{res}{space 2}-.0282372{col 27}{space 2} .0462819{col 38}{space 1}   -0.61{col 47}{space 3}0.546{col 55}{space 4}-.1221012{col 68}{space 3} .0656269
{txt}{space 3}se_notolss {c |}{col 15}{res}{space 2}-.0377522{col 27}{space 2} .0703993{col 38}{space 1}   -0.54{col 47}{space 3}0.595{col 55}{space 4}-.1805285{col 68}{space 3} .1050241
{txt}{space 5}dvtype11 {c |}{col 15}{res}{space 2}-.0683441{col 27}{space 2} .0662199{col 38}{space 1}   -1.03{col 47}{space 3}0.309{col 55}{space 4}-.2026443{col 68}{space 3} .0659562
{txt}{space 5}dvtype22 {c |}{col 15}{res}{space 2} .2621012{col 27}{space 2} .0852745{col 38}{space 1}    3.07{col 47}{space 3}0.004{col 55}{space 4} .0891565{col 68}{space 3} .4350459
{txt}dvtype_otherr {c |}{col 15}{res}{space 2} .0237228{col 27}{space 2} .0992091{col 38}{space 1}    0.24{col 47}{space 3}0.812{col 55}{space 4}-.1774826{col 68}{space 3} .2249282
{txt}{space 2}panel_nofee {c |}{col 15}{res}{space 2}-.2265449{col 27}{space 2} .0897299{col 38}{space 1}   -2.52{col 47}{space 3}0.016{col 55}{space 4}-.4085257{col 68}{space 3}-.0445641
{txt}{space 4}panel_fee {c |}{col 15}{res}{space 2}-.2335085{col 27}{space 2} .0936391{col 38}{space 1}   -2.49{col 47}{space 3}0.017{col 55}{space 4}-.4234174{col 68}{space 3}-.0435997
{txt}{space 10}tss {c |}{col 15}{res}{space 2} -.006194{col 27}{space 2} .0103478{col 38}{space 1}   -0.60{col 47}{space 3}0.553{col 55}{space 4}-.0271803{col 68}{space 3} .0147922
{txt}{space 4}cjournall {c |}{col 15}{res}{space 2}-.0170861{col 27}{space 2} .0784465{col 38}{space 1}   -0.22{col 47}{space 3}0.829{col 55}{space 4}-.1761829{col 68}{space 3} .1420107
{txt}{space 2}notjournall {c |}{col 15}{res}{space 2}-.0035467{col 27}{space 2} .0613119{col 38}{space 1}   -0.06{col 47}{space 3}0.954{col 55}{space 4} -.127893{col 68}{space 3} .1207997
{txt}{space 1}journalrankk {c |}{col 15}{res}{space 2}  .043787{col 27}{space 2} .0680068{col 38}{space 1}    0.64{col 47}{space 3}0.524{col 55}{space 4}-.0941371{col 68}{space 3} .1817111
{txt}{space 8}conss {c |}{col 15}{res}{space 2} .4685985{col 27}{space 2} .1039484{col 38}{space 1}    4.51{col 47}{space 3}0.000{col 55}{space 4} .2577815{col 68}{space 3} .6794155
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. display e(r2_a)
{res}.73201295
{txt}
{com}. 
. 
. 
. /*
> 
> // FIXED EFFECTS - Stepwise Specification where SeR term can be kept or dropped
> 
> gen ser = 1
> 
> //This first regression gives equal weight to each observation
> stepwise, pr(0.05) lockterm1:reg fetstatR conss pubyearr datayearr spann ///
> subsett fdigdpp initiall endogg se_notolss dvtype11 dvtype22 dvtype_otherr ///
> panel_nofee panel_fee tss cjournall notjournall ser, noc cluster(id)
> display e(r2_a)
> 
> //This first regression gives equal weight to each observation
> stepwise, pr(0.05) lockterm1:reg fetstatR conss pubyearr datayearr spann ///
> subsett fdigdpp initiall endogg se_notolss dvtype11 dvtype22 dvtype_otherr ///
> panel_nofee panel_fee tss cjournall notjournall ser [pweight = weight], noc cluster(id)
> display e(r2_a)
> */
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}\\file\UsersW$\wrr15\Home\My Documents\My Files\ANDY KIM\REVISION FOR WORLD DEVELOPMENT\DATA AND CODE\Part2.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}14 Jul 2016, 08:05:10
{txt}{.-}
{smcl}
{txt}{sf}{ul off}